Automating Scientific Knowledge Extraction and Modeling (ASKEM)

自动化科学知识提取和建模 (ASKEM)

• 批准号: 10724564
• 负责人: Joshua Elliot
• 金额: $ 27.5万
• 依托单位: OFFICE OF THE DIRECTOR, NATIONAL INSTITUTES OF HEALTH
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10724564
• 关键词: Artificial Intelligence; Automation; COVID-19; Code; Collection; Complex; Consumption; Data; Data Set; Decision Making; Ecosystem; Effectiveness; Epidemic; Knowledge; Knowledge Extraction; Manuals; Maps; Mission; Modeling; Source; Viral; Weather; complex data; empowered; fitness; heterogenous data; models and simulation; programs; structured data; tool

The objective of the Automating Scientific Knowledge Extraction and Modeling (ASKEM) Program is to create a knowledge-modeling-simulation ecosystem, empowered with Artificial Intelligence (AI) approaches and tools needed for the agile creation, sustainment, and enhancement of the complex models and simulators necessary to support expert knowledge- and data-informed decision making in diverse missions and scientific domains. The effectiveness of the tools will be demonstrated in applications relevant to viral epidemics such as COVID-19 and to the causes and impacts of space weather. ASKEM tools will enable experts to maintain, reuse, and adapt large collections of heterogeneous data, knowledge and models – with traceability across knowledge sources, model assumptions, and model fitness.

自动化科学知识提取和建模（ASKEM）计划的目标是创建一个知识-建模-仿真生态系统，利用人工智能（AI）方法和工具，为灵活创建、维护和增强复杂模型和模拟器提供必要的支持，以支持不同任务和科学领域的专家知识和数据知情决策。这些工具的有效性将在与COVID-19等病毒流行病以及空间天气的原因和影响有关的应用中得到证明。ASKEM工具将使专家能够维护、重用和调整大量异构数据、知识和模型的集合——具有跨知识来源、模型假设和模型适应性的可追溯性。